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Method and apparatus for calculating abdominal disease diagnosis information based on medical image

a medical image and diagnosis information technology, applied in the field of medical image analysis methods and apparatus, can solve the problems of unnecessarily increasing the cost and time required for diagnosing the degree of disease of the patient, and liver cancer, and achieve the effect of reducing the cost and time required for diagnosis

Active Publication Date: 2021-07-20
WONKWANG UNIV CENT FOR IND ACAD COOPERATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This approach allows for simultaneous prediction and notification of abdominal disease severity with the acquisition of a medical image, significantly reducing diagnostic costs and time by using a nodule grade and cellular heterogeneity coefficient calculated from medical images.

Problems solved by technology

If hepatitis recurs repeatedly to develop chronic hepatitis, it develops into hepatocirrhosis and leads to liver cancer within several years.
Namely, in the conventional art, in order to accurately check the liver health of a patient, an image analysis process using a CT, an MRI and an ultrasound imaging device and a liver fibrosis checking process using the ELF device and the liver fibrosis scanning device must be performed together, which however unnecessarily increases the cost and time required for diagnosing the degree of disease of the patient.

Method used

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  • Method and apparatus for calculating abdominal disease diagnosis information based on medical image
  • Method and apparatus for calculating abdominal disease diagnosis information based on medical image
  • Method and apparatus for calculating abdominal disease diagnosis information based on medical image

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Embodiment Construction

[0025]The objects and effects of the present disclosure and the technical features for achieving them will become apparent with reference to the embodiments described in detail below along with the accompanying drawings. In the following description of the present disclosure, known functions or configurations will not be described in detail when it is determined that the gist of the present disclosure may be unnecessarily obscured thereby.

[0026]In addition, the following terms are defined in consideration of the functions in the present disclosure and may vary depending on the intention of a user or an operator, or the customs.

[0027]However, the present disclosure is not limited to the embodiments disclosed below, but may be implemented in various other ways. The embodiments are provided just for perfect explanation of the present disclosure and for allowing those of skilled in the art to completely understand the present disclosure, and the present disclosure is defined only by the...

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Abstract

A method for analyzing an abdominal disease based on a medical image, includes receiving and preprocessing a medical image obtained by photographing an abdominal region of a patient to detect a plurality of analysis candidate regions and setting one of the plurality of analysis candidate regions as a ROI, calculating a nodule grade based on surface unevenness of the ROI, calculating a cellular heterogeneity coefficient based on pixel homogeneity of the ROI, and predicting and outputting an abdominal disease value based on the nodule grade and the cellular heterogeneity coefficient.

Description

CROSS-REFERENCE TO RELATED APPLICATION AND CLAIM OF PRIORITY[0001]This application claims priority to Korean Patent Application No. 10-2018-0135772 filed on Nov. 7, 2018 in the Korean Intellectual Property Office (KIPO), the entire disclosure of which is incorporated by reference herein.[0002]This study was supported by the grants of the National Research Foundation of Korea (NRF) (2016M3A9A7918501) and the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare (HI18C1216).BACKGROUND1. Technical Field[0003]This disclosure relates to a method and apparatus for analyzing an abdominal disease based on a medical image, and in particular, to a method and apparatus for analyzing an abdominal disease based on a medical image, which calculates a nodule grade and a cellular heterogeneity coefficient from a medical image obtained by photographing an abdominal region of a patient and simply predicts and no...

Claims

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Application Information

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Patent Type & Authority Patents(United States)
IPC IPC(8): G06T7/13A61B8/00G06T7/00A61B6/00A61B5/00
CPCG06T7/0012G06T7/13A61B5/7485A61B6/469A61B8/469G06T2207/30056A61B5/055A61B5/4244A61B5/7275G06T2207/10081G06T2207/10088G06T2207/10132A61B6/032A61B8/5223G16H30/40
Inventor YOON, KWON HAKIM, JI EONKIMNO, SI HYUNGLEE, CHUNG SUBKIM, SEUNG JINJEONG, CHANG WON
Owner WONKWANG UNIV CENT FOR IND ACAD COOPERATION
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